Is there any technique to handle a dataset with multiple dependant variables? Note: Its not about multiclass classification problem/Market Basket/Recommender Systems.
e.g. A dataset has, lets say 200 dependant variables as different products. Rows represent the customers who have bought the products. Hence a customer can buy multiple products at the same time. Is there any supervised technique to predict the probabilities for the products which customers in test dataset will buy?